Expressive Performance Control

Expressive Performance Control is a computational framework within music performance technology that enables real-time manipulation of musical expression parameters—such as dynamics, timing, and articulation—by distinguishing itself from general performance systems through its focus on modeling and reproducing human-like expressive intentions in performed music.

43

Publications

1.9K

Citations

87

Authors

37

Institutions

Publications per year

2017–2026

6

Authors

87

  1. RB
    Roberto Bresin

    KTH Royal Institute of Technology, Sweden

    3 publications · 57 citations

    3

    h-index

  2. CZ
    Carolyn Zahn‐Waxler

    University of Wisconsin–Madison, United States

    2 publications · 302 citations

    2

    h-index

  3. RH
    Robert H. Woody

    University of Nebraska–Lincoln, United States

    2 publications · 65 citations

    2

    h-index

  4. PB
    Paul Broomhead

    Brigham Young University, United States

    2 publications · 43 citations

    2

    h-index

  5. ER
    Eduardo Reck Miranda

    University of Plymouth, United Kingdom

    2 publications · 51 citations

    2

    h-index

1–5 of 87

Venues

  1. Computer Music Journal

    4 publications · 174 citations

    4

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 4 publications · 67 citations

    4

    h-index

  3. Journal of Research in Music Education

    3 publications · 88 citations

    3

    h-index

  4. Developmental Psychology

    2 publications · 302 citations

    2

    h-index

  5. Computer

    2 publications · 36 citations

    2

    h-index

1–5